diXa: a data infrastructure for chemical safety assessment - Test2 - elhamkhani - TriplyDB

diXa: a data infrastructure for chemical safety assessment

diXa: a data infrastructure for chemical safety assessment

http://www.wikidata.org/entity/Q30878076

about

From Peer-Reviewed to Peer-Reproduced in Scholarly Publishing: The Complementary Roles of Data Models and Workflows in Bioinformatics ToxDB: pathway-level interpretation of drug-treatment data Xenobiotic metabolism in differentiated human bronchial epithelial cells.A Systems Biology Approach for Identifying Hepatotoxicant Groups Based on Similarity in Mechanisms of Action and Chemical Structure.Supporting evidence-based analysis for modified risk tobacco products through a toxicology data-sharing infrastructure.The BioStudies database-one stop shop for all data supporting a life sciences study.Network and Pathway Analysis of Toxicogenomics Data

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P2860

diXa: a data infrastructure for chemical safety assessment

http://www.wikidata.org/entity/Q30878076

description

2014 nî lūn-bûn

@nan

2014 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած

@hyw

2014 թվականի դեկտեմբերին հրատարակված գիտական հոդված

@hy

2014年の論文

@ja

2014年論文

@yue

2014年論文

@zh-hant

2014年論文

@zh-hk

2014年論文

@zh-mo

2014年論文

@zh-tw

2014年论文

@wuu

name

diXa: a data infrastructure for chemical safety assessment

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diXa: a data infrastructure for chemical safety assessment

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diXa: a data infrastructure for chemical safety assessment

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diXa: a data infrastructure for chemical safety assessment

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Danyel G J Jennen

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Ekaterina Pilicheva

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Hans Gmuender

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Hector C Keun

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Isaia Sotiriadou

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Jürgen Hescheler

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Marlon J A Jetten

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Stathis Kanterakis

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P2860

Modeling sample variables with an Experimental Factor Ontology

A collaborative approach to develop a multi-omics data analytics platform for translational research

Evaluation of database-derived pathway development for enabling biomarker discovery for hepatotoxicity

Data integration in the era of omics: current and future challenges

ISA software suite: supporting standards-compliant experimental annotation and enabling curation at the community level

Integrated data analysis for genome-wide research.

Toxicology for the twenty-first century.

Assessing compound carcinogenicity in vitro using connectivity mapping.

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1505-1507

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scholarly article

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10.1093/BIOINFORMATICS/BTU827

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9

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John P. Overington

Diana M. Hendrickx

Timo Wittenberger

Florian Caiment

Clemens Wittwehr

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2014-12-12T00:00:00Z

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